CN104122246A - Raman-spectrum measuring method for detecting content of melamine in milk products with different matrixes - Google Patents
Raman-spectrum measuring method for detecting content of melamine in milk products with different matrixes Download PDFInfo
- Publication number
- CN104122246A CN104122246A CN201310155894.7A CN201310155894A CN104122246A CN 104122246 A CN104122246 A CN 104122246A CN 201310155894 A CN201310155894 A CN 201310155894A CN 104122246 A CN104122246 A CN 104122246A
- Authority
- CN
- China
- Prior art keywords
- dairy products
- melamine
- characteristic peak
- raman spectrum
- characteristic
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/65—Raman scattering
Landscapes
- Health & Medical Sciences (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)
Abstract
The invention discloses a Raman-spectrum measuring method for detecting the content of melamine in milk products with different matrixes. The Raman-spectrum measuring method comprises the following steps: (a) establishing a database of characteristic curves of the milk products with the different matrixes; (b) measuring a plurality of to-be-detected milk products with certain unknown matrixes, adding a melamine standard solution with different concentrations into the milk products so as to obtain a series of milk product samples with the matrixes and known relative concentrations of the melamine; (c) carrying out Raman-spectrum test and analysis on the milk product samples so as to obtain corresponding characteristic peak strength so as to obtain slopes of characteristic curves of the characteristic peak strength of the milk product samples changing along with the relative concentration of the melamine; (d) searching by utilizing the slopes of the characteristic curves of the milk-product samples to find the characteristic curves matched with the slopes in the data base established in the step (a); and (e) calculating the concentrations of the melamine in the to-be-detected milk products by utilizing the characteristic curves and the characteristic peak strength of the to-be-detected milk products.
Description
Technical field
The present invention relates to the content of melamine detection field in dairy products, relate in particular to the detection method of the content of melamine in different substrates dairy products.
Background technology
Country has issued < < raw milk and melamine in dairy products detection method > > (GB/T22388-2008), raw milk, dairy products and three kinds of assay methods that contain melamine in dairy products have been stipulated, be high performance liquid chromatography (HPLC), liquid chromatography-mass spectrography/mass spectroscopy (LC-MS/MS) and GC-MS(gas chromatography-mass spectrography) [comprising gas chromatography-mass spectrography (GC-MS), gas chromatography-mass spectrum/mass spectroscopy (GC-MS/MS)].Although these methods can be carried out qualitative and quantitative test accurately, due to restrictions such as complicated operation, operating conditions are harsh, consumables cost is high, test speed is slow, these methods can only be detected in laboratory.
It is CN101477051 that China Inst. of Quarantine Inspection Sciences discloses patent application publication number, exercise question is that < < is for Raman spectroscopy and the kit > > of melamine in fluid milk field quick detection, this Patent Application Publication a kind of method that adopts Raman spectrum standard measure to detect melamine in fluid milk content, the method characteristic curve that mainly Raman spectrum characteristic peak by postgraduate's fresh milk changes with melamine concentration by force, and utilize the Raman spectrum of characteristic curve and raw milk to be measured.It can, than the detection faster realizing melamine, have reasonable detection effect to the content of melamine in raw milk.But when other liquid milk is detected, because composition in various different liquid milks is different, their characteristic curve can and raw milk have different, and if still according to the characteristic curve of raw milk, quantitatively calculate, can cause result of calculation and actual value to have larger difference.Actual measured results shows that the method has larger measured deviation when commercially available various liquid milks are detected.Producing measured deviation is mainly because composition in various different liquid milks is different, and these different matrix can detect and bring very large impact Raman spectrum.Therefore, solving different substrates in dairy products is that application Raman spectrum quantitatively detects to melamine in dairy products the main difficulty facing to the interference of measuring.
In view of this, truly have need to provide a kind of can be rapidly and/or the method for exactly content of melamine in different substrates dairy products being carried out quantitative test.
Summary of the invention
Object of the present invention is intended to solve at least one aspect of the above-mentioned problems in the prior art and defect.
Known in view of above-mentioned analysis, one of object of the present invention is to set up a set of Raman spectrum that utilizes to solve test and data analysing method that in dairy products, different substrates disturbs, utilizes Raman spectroscopy to realize the quantitative detection to different substrates melamine in dairy products.
According to an aspect of the present invention, provide a kind of method for measuring Raman spectrum for different substrates melamine in dairy products content detection, it comprises the following steps:
(a) set up the database of the characteristic curve of different substrates dairy products;
(b) measure the dairy products to be measured of many parts of a certain unknown matrix, add wherein the melamine titer of variable concentrations, obtain the dairy products sample of this matrix of a series of known melamine relative concentrations;
(c) for described dairy products sample, carry out Raman spectrum test analysis and obtain corresponding characteristic peak strong, thereby the slope of the characteristic curve that the characteristic peak that obtains described dairy products sample changes with melamine relative concentration by force;
(d) utilize in the database that the slope of the characteristic curve of described dairy products sample sets up in step (a) search to find the characteristic curve matching with it;
(e) utilize the characteristic peak of this characteristic curve and dairy products to be measured to calculate by force the concentration of the melamine in these dairy products to be measured.
Further, in step (b), add melamine titer in dairy products to be measured after, also water, organic solvent or salt are joined in described dairy products to be measured, to be mixed evenly, after centrifugal treating, get its clear liquid to be measured.
In addition, in described clear liquid, add nano material reinforcing agent, after mixing, form the sample of described dairy products to be measured.
In another embodiment, in step (c), described in obtain the method that characteristic peak is strong and be:
The Raman spectrum of the dairy products sample of acquisition is carried out to buckle back bottom reason, to obtain smooth Raman spectrum;
Characteristic peak area by the peak area at the Raman frequency shift place, First Characteristic peak in Raman spectrum divided by Raman frequency shift place, Second Characteristic peak, thus it is strong to obtain characteristic peak.
Particularly, the Raman frequency shift at described First Characteristic peak is at 707cm
-1near; The Raman frequency shift at described Second Characteristic peak is at 935cm
-1near.
In another embodiment, in step (a), by high performance liquid chromatography, liquid chromatography-mass spectrography/mass spectroscopy or GC-MS(gas chromatography-mass spectrography), detect the concentration of melamine in a series of dairy products samples with same matrix;
Utilize Raman spectroscopy to obtain the characteristic peak of dairy products sample of these same matrix strong, thereby set up the characteristic curve that the characteristic peak of these matrix dairy products changes with melamine concentration by force;
Afterwards, by detecting the characteristic curve of multiple different substrates dairy products, set up different substrates dairy products characteristic curve database.
Preferably, water comprises deionized water or distilled water; Organic solvent comprises alcohol or acetone; Salt comprises potassium chloride or sodium chloride.
Preferably, described nano material reinforcing agent is included as in metal nano material, metal nanometer line, metal nanometer cluster, carbon nano-tube and the carbon nano-particle of yardstick within the scope of 1-1000nm any or theys' combination.
More preferably, described metal nanoparticle material comprises the nano-particle material of gold, silver, copper, magnesium, aluminium, iron, cobalt, nickel, palladium, platinum.
In another embodiment, in step (c), described in obtain characteristic curve slope method be:
According to characteristic peak, with the variation of melamine concentration, by the method for difference assay or fitting a straight line, determine the slope of characteristic curve by force.
Accompanying drawing explanation
These and/or other aspect of the present invention and advantage obviously and are easily understood below in conjunction with becoming in accompanying drawing description of preferred embodiments, wherein:
Fig. 1 is according to the schematic diagram of a part for the database of the characteristic curve of the different substrates dairy products of having set up of the embodiment of the present invention.
Fig. 2 a-2c adopts three of liquid milk that measure a certain matrix according to the method for the embodiment of the present invention to add the Raman spectrogram of the liquid milk sample to be measured after the melamine titer of variable concentrations.
Fig. 3 is in the present invention by calculating the schematic diagram of the characteristic curve of the liquid milk sample to be measured in Fig. 2 a-2c obtaining.
Embodiment
Below by embodiment, and by reference to the accompanying drawings, technical scheme of the present invention is described in further detail.In instructions, same or analogous drawing reference numeral represents same or analogous parts.Followingly with reference to accompanying drawing, the explanation of embodiment of the present invention is intended to present general inventive concept of the present invention to make an explanation, and does not should be understood to a kind of restriction of the present invention.
Main design of the present invention is: the dairy products of the known melamine concentration of same matrix are carried out to Raman spectrum test analysis; Set up melamine concentration and the strong characteristic curve of corresponding Raman spectrum characteristic peak of same matrix dairy products; Research and analyse characteristic curve that the melamine concentration of multiple different substrates dairy products and corresponding Raman spectrum characteristic peak are strong to set up the database of described characteristic curve; To dairy products to be measured, adopt relative method to carry out Raman spectrum multimetering to determine the slope of characteristic curve, in conjunction with the characteristic curve of Database dairy products to be measured, utilize characteristic curve to calculate the content of melamine in dairy products to be measured.
Raman spectroscopy for different substrates melamine in dairy products content detection according to the present invention comprises the following steps:
1) prepare the sample of known melamine concentration: the concentration of melamine in dairy products can (high performance liquid chromatography (HPLC), liquid chromatography-mass spectrography/mass spectroscopy (LC-MS/MS) and GC-MS(gas chromatography-mass spectrography) [comprise gas chromatography-mass spectrography (GC-MS) by national standard assay method, gas chromatography-mass spectrum/mass spectroscopy (GC-MS/MS)]) measure, by adding wherein the melamine titer of variable concentrations, obtain the sample of a series of known melamine concentration;
2) raman spectroscopy measurement: get quantitative sample, add wherein the chemicalss such as quantitative water, organic solvent or salt, mix rear centrifugally, get clear liquid to be measured.Quantitative clear liquid and nano material reinforcing agent are mixed, utilize Raman spectrometer to measure its Raman spectrum;
3) characteristic peak is analyzed by force: obtain the signal (or peak area) at a certain characteristic peak Raman frequency shift of melamine place in Raman spectrum with respect to the relative intensity of the signal (or peak area) at Raman frequency shift place, another feature peak, the characteristic peak of a certain characteristic peak is strong;
4) set up characteristic curve: the dairy products to same matrix, set up the characteristic curve that characteristic peak changes with melamine concentration by force;
5) building database: the dairy products of different substrates are set up respectively to characteristic curve to form corresponding database (as shown in Figure 1, the zero point of the melamine concentration shown in Fig. 1 or 0ppm, represent in fact not contain melamine in milk sample);
6) relative measurement: get many portions of dairy products to be measured or dairy produce, add respectively wherein the melamine titer of variable concentrations, obtain the dairy products sample to be tested of the different substrates of a series of known melamine relative concentrations, according to step 2) method measures the Raman spectrum (as shown in Fig. 2 a-2c) of each testing sample, obtains characteristic peak strong;
7) database and the step 6 quantitative test: utilize step 5) set up) characteristic peak of the Raman spectrum that obtains of relative measurement is strong, sets up the characteristic curve (referring to Fig. 3) of dairy products to be measured.Characteristic peak in conjunction with characteristic curve and sample to be tested Raman spectrum is strong, quantitatively calculates melamine concentration.
Adopt above-mentioned relative test and data analysing method, can melamine in dairy products content be realized quantitatively and being detected, when content of melamine is when 2.5mg/kg is above, detect the recovery at 80%--110%, relative standard deviation be less than 10%.
In the present invention, the database concrete steps of setting up the characteristic curve of different substrates dairy products are: high performance liquid chromatography, liquid chromatography-mass spectrography/mass spectroscopy or the GC-MS(gas chromatography-mass spectrography) by national regulation detects the concentration of melamine in a series of dairy products samples with same matrix; Utilize Raman spectroscopy to obtain the characteristic peak of dairy products sample of these same matrix strong, thereby set up the characteristic curve that the characteristic peak of these matrix dairy products changes with melamine concentration by force; Afterwards, by detecting the characteristic curve of multiple different substrates dairy products, set up different substrates dairy products characteristic curve database.
In the present invention, step 2), the nano material reinforcing agent of application is included as the combination of any or they in metal nanoparticle, nano wire and the nanocluster of yardstick within the scope of 1-1000nm, carbon nano-tube, carbon nano-particle.Described metal nanoparticle, nano wire or nanocluster comprise in gold, silver, copper, magnesium, aluminium, iron, cobalt, nickel, palladium, platinum any or they combination nano particle or material, nano wire or nano-cluster.
In addition, in step 2) in, water comprises deionized water or distilled water; Organic solvent comprises alcohol or acetone etc.; Salt comprises potassium chloride or sodium chloride etc.
In step 3) in, described in obtain the method that characteristic peak is strong and be: the Raman spectrum of the dairy products sample of acquisition is carried out to buckle back bottom reason, to obtain smooth Raman spectrum; Characteristic of correspondence peak area by the corresponding peak area at the Raman frequency shift place at the First Characteristic peak in Raman spectrum divided by the Raman frequency shift place at Second Characteristic peak, thus it is strong to obtain characteristic peak.Preferably, the Raman frequency shift at described First Characteristic peak is at 707cm
-1near; The Raman frequency shift at described Second Characteristic peak is at 935cm
-1near.
In the present invention, the method for obtaining characteristic curve slope described in is: according to characteristic peak, determine the slope of characteristic curve by force with the variation of melamine concentration by the method for difference assay or fitting a straight line.
With current GB < < raw milk, compare with the method for mentioning in melamine in dairy products detection method > > (GB/T22388-2008), adopt Raman spectroscopy have sample pre-treatments simple, test consumables cost low, can carry out the advantages such as field quick detection.Than other the Raman spectroscopy of having reported, the advantage of maximum of the present invention is to have solved matrix to the interference detecting.Method of the present invention is not only confined to the detection to a certain dairy products, and to more than 20 kind of commercially available liquid diary product, it can realize quantitative detection, measures and is limited to 2.5mg/kg, reappearance good (quantitative test, RSD≤10%).
Embodiment
Step 1: to the liquid milk of pouring respectively the known melamine concentration of 500 μ l in a plurality of centrifuge tubes into, add respectively wherein the melamine titer of 50 μ l variable concentrations, and add wherein 800 μ l absolute ethyl alcohols, vortex is placed in hydro-extractor for 10 seconds, in 14000rpm rotating speed centrifugal 12 minutes, get supernatant liquor to be measured.
Step 2: to the solution (concentration is 100 mg/litre, and the yardstick of silver nano material or particle is between the scope of 30-150nm) and the above-mentioned milk clear liquid of 200 μ l that add 430 μ l silver nanoparticle reinforcing agents in test bottle, vortex mixes.
Step 3: the Raman spectrometer that is 785nm with LASER Light Source emission wavelength of the prior art detects the Raman spectrum of mixed liquor, and laser power is 450mw, and be 1s integral time, and continuous sweep spectrum 15 times, is averaged spectrum.
Step 4: by characteristic peak Raman frequency shift 707cm
-1the peak area at corresponding peak divided by the Raman frequency shift of characteristic peak, be 935cm
-1the peak area at corresponding peak, obtain 707cm
-1the relative intensity of the Raman signal of Raman frequency shift place characteristic peak, characteristic peak is strong.
Step 5: for the liquid milk sample of different content melamine, set up 707cm
-1the characteristic curve of the linear relationship that near the relative intensity of characteristic peak changes with melamine concentration.
Step 6: the liquid milk of different substrates is set up respectively to characteristic of correspondence curve, thereby set up the characteristic curve database of the liquid milk of a plurality of different substrates.As shown in Figure 1, the characteristic curve that its raman characteristic peak that shows the liquid milk (for example milk 1-6) of 6 kinds of different substrates changes with melamine concentration by force.
Step 7: get the liquid milk of many parts of a certain unknown matrix to be measured, add wherein the melamine titer of variable concentrations, obtain the described unknown matrix liquid milk sample to be tested of a series of known melamine relative concentrations.
Particularly, in the present embodiment, measure the liquid milk to be measured of three part of 500 μ l, and add wherein respectively water, 15ppm melamine titer and the 35ppm melamine titer of 50 μ l, with the identical method of the step with described in above-mentioned steps 1 and 2, prepare liquid milk sample to be tested (liquid milk that is about to the known melamine concentration in step 1 and 2 replaces to the liquid milk to be measured of same volume, keep other parameter, conditioned disjunction processing sequence identical).Suppose that melamine in fluid milk concentration to be measured is X, in three samples, melamine concentration can be seen X, X+1.5ppm, X+3.5ppm as.
Step 8: utilize the slope of the characteristic curve of described liquid milk to be measured to find the corresponding characteristic curve matching in the database of setting up before.
Particularly, according to the method for foregoing step, measure the Raman spectrum of each sample to be tested, obtain characteristic peak strong, thereby obtain the characteristic curve of liquid milk to be measured.Wherein with reference to figure 2a-2c, show the Raman spectrogram of the strong and Raman frequency shift of the Raman peaks of liquid milk to be measured.
By using the corresponding method in step 3, record the Raman spectrum of three liquid milk samples to be measured, as shown in Fig. 2 a, 2b, 2c.Calculate the strong (707cm of characteristic peak
-1the relative intensity of characteristic peak Raman frequency shift place Raman signal) be respectively: 0.691,1.030,1.426, thus obtain melamine concentration and the strong corresponding relation of characteristic peak, as table 1:
Table 1 illustrates the melamine relative concentration of liquid milk sample to be measured and the strong relation of characteristic peak
Utilize the strong slope that calculates corresponding characteristic curve of melamine relative concentration and characteristic peak.X is set to any a certain value, and above-mentioned three groups of data are carried out to fitting a straight line (Fig. 3 is hypothesis X=0, the matched curve obtaining), and it is 0.21 that matching obtains slope.Characteristic curve by slope match query in database is Y=0.21X+0.37.
Step 9: the strong concentration of quantitatively calculating melamine in fluid milk to be measured of characteristic peak of utilizing the Raman spectrum of characteristic curve and liquid milk to be measured.The liquid milk sample characteristic to be measured strong Y=0.691 in peak, utilizing characteristic curve to calculate liquid milk sample melamine concentration to be measured is 1.53ppm, approaches very much its actual concentrations 1.50ppm (this actual concentrations is that the detection method by national regulation obtains).
A plurality of samples are measured according to the method described above, found that content of melamine is less than or equal in the scope of 2.5-5ppm, the recovery is between 80%--110%, and relative standard deviation is less than 10%.To step 7, can get equally the sample of the known melamine relative concentration of many parts of unknown matrix and measure, to determine the concentration of the melamine in the liquid milk dairy products of a plurality of unknown matrix.
Although some embodiment of general plotting of the present invention are shown and explanation, those skilled in the art will appreciate that, in the situation that do not deviate from principle and the spirit of this present general inventive concept, can make a change these embodiment, scope of the present invention limits with claim and their equivalent.
Claims (10)
1. for a method for measuring Raman spectrum for different substrates melamine in dairy products content detection, it comprises the following steps:
(a) set up the database of the characteristic curve of different substrates dairy products;
(b) measure the dairy products to be measured of many parts of a certain unknown matrix, add wherein the melamine titer of variable concentrations, obtain the dairy products sample of this matrix of a series of known melamine relative concentrations;
(c) for described dairy products sample, carry out Raman spectrum test analysis and obtain corresponding characteristic peak strong, thereby the slope of the characteristic curve that the characteristic peak that obtains described dairy products sample changes with melamine relative concentration by force;
(d) utilize in the database that the slope of the characteristic curve of described dairy products sample sets up in step (a) search to find the characteristic curve matching with it;
(e) utilize the characteristic peak of this characteristic curve and dairy products to be measured to calculate by force the concentration of the melamine in these dairy products to be measured.
2. method for measuring Raman spectrum according to claim 1, is characterized in that,
In step (b), add melamine titer in dairy products to be measured after, also water, organic solvent or salt are joined in described dairy products to be measured, to be mixed evenly, after centrifugal treating, get its clear liquid to be measured.
3. method for measuring Raman spectrum according to claim 2, is characterized in that,
In described clear liquid, add nano material reinforcing agent, after mixing, form the sample of described dairy products to be measured.
4. method for measuring Raman spectrum according to claim 1, is characterized in that,
In step (c), described in obtain the method that characteristic peak is strong and be:
The Raman spectrum of the dairy products sample of acquisition is carried out to buckle back bottom reason, to obtain smooth Raman spectrum;
Characteristic peak area by the peak area at the Raman frequency shift place, First Characteristic peak in Raman spectrum divided by Raman frequency shift place, Second Characteristic peak, thus it is strong to obtain characteristic peak.
5. method for measuring Raman spectrum according to claim 4, is characterized in that,
The Raman frequency shift at described First Characteristic peak is at 707cm
-1near; The Raman frequency shift at described Second Characteristic peak is at 935cm
-1near.
6. according to the method for measuring Raman spectrum described in any one in claim 1-5, it is characterized in that,
In step (a), by high performance liquid chromatography, liquid chromatography-mass spectrography/mass spectroscopy or GC-MS(gas chromatography-mass spectrography), detect the concentration of melamine in a series of dairy products samples with same matrix;
Utilize Raman spectroscopy to obtain the characteristic peak of dairy products sample of these same matrix strong, thereby set up the characteristic curve that the characteristic peak of these matrix dairy products changes with melamine concentration by force;
Afterwards, by detecting the characteristic curve of multiple different substrates dairy products, set up the database of different substrates dairy products characteristic curve.
7. method for measuring Raman spectrum according to claim 2, is characterized in that,
Water comprises deionized water or distilled water; Organic solvent comprises alcohol or acetone; Salt comprises potassium chloride or sodium chloride.
8. method for measuring Raman spectrum according to claim 3, is characterized in that,
Described nano material reinforcing agent is included as in metal nanoparticle material, metal nanometer line, metal nanometer cluster, carbon nano-tube and the carbon nano-particle of yardstick within the scope of 1-1000nm any or theys' combination.
9. method for measuring Raman spectrum according to claim 8, is characterized in that,
Described metal comprises the combination of any or they in gold, silver, copper, magnesium, aluminium, iron, cobalt, nickel, palladium or platinum.
10. method for measuring Raman spectrum according to claim 1, is characterized in that,
In step (c), described in obtain characteristic curve slope method be:
According to characteristic peak, with the variation of melamine concentration, by the method for difference assay or fitting a straight line, determine the slope of characteristic curve by force.
Priority Applications (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310155894.7A CN104122246B (en) | 2013-04-28 | 2013-04-28 | The method for measuring Raman spectrum of different substrates melamine in dairy products content |
| PCT/CN2013/085117 WO2014176869A1 (en) | 2013-04-28 | 2013-10-12 | Raman spectrum measuring method for melamine content in milk product with different matrixes |
| US14/145,454 US8891081B1 (en) | 2013-04-28 | 2013-12-31 | Raman spectroscopy method of measuring melamine contents in dairy products having different matrixes |
| HK15100835.2A HK1200531A1 (en) | 2013-04-28 | 2015-01-26 | Method for detecting the concentration of melamine in dairy products having different matrixes via raman spectroscopy |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310155894.7A CN104122246B (en) | 2013-04-28 | 2013-04-28 | The method for measuring Raman spectrum of different substrates melamine in dairy products content |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104122246A true CN104122246A (en) | 2014-10-29 |
| CN104122246B CN104122246B (en) | 2017-03-29 |
Family
ID=51767742
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310155894.7A Active CN104122246B (en) | 2013-04-28 | 2013-04-28 | The method for measuring Raman spectrum of different substrates melamine in dairy products content |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US8891081B1 (en) |
| CN (1) | CN104122246B (en) |
| HK (1) | HK1200531A1 (en) |
| WO (1) | WO2014176869A1 (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104568909A (en) * | 2015-02-10 | 2015-04-29 | 吕志伟 | Method for detecting content of dicyandiamide in milk based on surface enhanced Raman scattering technology |
| CN105628669A (en) * | 2014-10-28 | 2016-06-01 | 河北伊诺光学科技有限公司 | Detection method of melamine in milk and milk powder |
| CN105758836A (en) * | 2016-02-18 | 2016-07-13 | 安徽芯核防务装备技术股份有限公司 | Raman spectrum real-time and quantitive analysis method based on area method |
| CN107247045A (en) * | 2017-06-16 | 2017-10-13 | 王海燕 | The dairy products Raman spectral characteristics extracting method parsed based on chemical prior information |
| CN107561055A (en) * | 2017-08-16 | 2018-01-09 | 常州二维碳素科技股份有限公司 | A kind of method of graphene composition and content in judgement material |
| CN108020539A (en) * | 2018-01-17 | 2018-05-11 | 南开大学 | The enhancing Raman optical spectrum method that a kind of food security quickly detects |
| WO2018103541A1 (en) * | 2016-12-08 | 2018-06-14 | 同方威视技术股份有限公司 | Raman spectrum detection method and electronic apparatus for removing solvent perturbation |
| CN109239049A (en) * | 2018-09-13 | 2019-01-18 | 常州常检诺食品检测中心有限公司 | The detection method of melamine in a kind of milk powder |
| CN111380856A (en) * | 2018-12-29 | 2020-07-07 | 同方威视技术股份有限公司 | Method for detecting melamine in dairy product by using Raman spectrum |
| CN114441503A (en) * | 2022-01-21 | 2022-05-06 | 首都师范大学 | Melamine quantitative detection method based on surface enhanced Raman spectrum internal standard analysis |
| CN114813592A (en) * | 2022-03-11 | 2022-07-29 | 华南理工大学 | Method for researching degradation mechanism of hydroxychloroquine in natural water body |
Families Citing this family (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10696706B2 (en) | 2010-03-12 | 2020-06-30 | Purecircle Usa Inc. | Methods of preparing steviol glycosides and uses of the same |
| EP4108668A1 (en) * | 2010-03-12 | 2022-12-28 | PureCircle USA Inc. | High-purity steviol glycosides |
| GB201415671D0 (en) * | 2014-09-04 | 2014-10-22 | Systems Rsp As | Method and apparatus for transdermal in vivo measurement by raman spectroscopy |
| CN110186901A (en) * | 2019-06-14 | 2019-08-30 | 绍兴谱分科技有限公司 | Quickly detection has the method for the alcoholic strength of color wine |
| CN110879222A (en) * | 2019-11-06 | 2020-03-13 | 广州供电局有限公司 | Construction method of quantitative analysis curve of furfural in transformer oil and detection method of furfural content |
| CN111537494A (en) * | 2020-05-09 | 2020-08-14 | 广东电网有限责任公司广州供电局 | Analysis method for furfural extraction effect in transformer oil |
| CN111879749B (en) * | 2020-07-23 | 2023-02-14 | 西安近代化学研究所 | Method for characterizing NTO crystal quality in press-fitting PBX explosive column |
| CN112213292A (en) * | 2020-08-19 | 2021-01-12 | 杭州健澄科技有限公司 | Method for detecting hydroxylamine content in oximation reaction process |
| CN112461812B (en) * | 2020-12-01 | 2022-04-12 | 中国科学院广州能源研究所 | Method for measuring gas saturation of gas hydrate |
| CN112945931A (en) * | 2021-02-03 | 2021-06-11 | 上海如海光电科技有限公司 | Raman rapid detection method of sulfamonomethoxine in dairy product |
| CN113624738A (en) * | 2021-07-19 | 2021-11-09 | 上海应用技术大学 | Method for rapidly screening whey adulteration in fresh milk |
| CN113655050B (en) * | 2021-08-17 | 2024-04-26 | 南京富岛信息工程有限公司 | Method for improving Raman spectrum detection limit of trace crude oil in light oil |
| CN114113030B (en) * | 2021-10-14 | 2024-07-09 | 广东电网有限责任公司广州供电局 | Construction method of acetone content analysis model in transformer oil and acetone content detection method |
| CN114235781A (en) * | 2021-12-22 | 2022-03-25 | 上海海洋大学 | Method for quantitatively detecting beta-galactosidase in seawater based on surface enhanced Raman spectroscopy technology |
| CN114878726A (en) * | 2022-04-29 | 2022-08-09 | 四川新希望乳业有限公司 | Fast detection method of melamine liquid chromatogram |
| CN115791751B (en) * | 2022-12-09 | 2023-11-24 | 中国矿业大学 | Method for measuring content of free silicon dioxide in coal dust based on Raman spectrum |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101477051A (en) * | 2008-10-28 | 2009-07-08 | 中国检验检疫科学研究院 | Raman spectrum method and reagent kit used for on-site fast detection of melamine in liquid milk |
| CN101487796A (en) * | 2009-02-24 | 2009-07-22 | 中国检验检疫科学研究院 | Method for measuring melamine content in solid example |
| CN101629909A (en) * | 2008-07-20 | 2010-01-20 | 欧普图斯科技有限公司 | Method for detecting chemical or biological substance |
| WO2010057212A1 (en) * | 2008-11-17 | 2010-05-20 | Oxonica Materials, Inc. | Melamine assay methods and systems |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7956997B2 (en) * | 2003-05-27 | 2011-06-07 | Optotrace Technologies, Inc. | Systems and methods for food safety detection |
| CN101487797B (en) * | 2009-02-24 | 2011-07-06 | 中国检验检疫科学研究院 | Method for measuring melamine content in liquid example |
| CN102156177A (en) * | 2011-05-17 | 2011-08-17 | 中华人民共和国绍兴出入境检验检疫局 | Method for determining methamidophos in rice wine |
| CN103149312B (en) * | 2013-02-05 | 2015-02-04 | 东北农业大学 | Analyzing method of sialic acid in infant milk powders with ultra-high performance liquid chromatography tandem quadrupole mass spectrometry |
-
2013
- 2013-04-28 CN CN201310155894.7A patent/CN104122246B/en active Active
- 2013-10-12 WO PCT/CN2013/085117 patent/WO2014176869A1/en active Application Filing
- 2013-12-31 US US14/145,454 patent/US8891081B1/en not_active Expired - Fee Related
-
2015
- 2015-01-26 HK HK15100835.2A patent/HK1200531A1/en unknown
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101629909A (en) * | 2008-07-20 | 2010-01-20 | 欧普图斯科技有限公司 | Method for detecting chemical or biological substance |
| CN101477051A (en) * | 2008-10-28 | 2009-07-08 | 中国检验检疫科学研究院 | Raman spectrum method and reagent kit used for on-site fast detection of melamine in liquid milk |
| WO2010057212A1 (en) * | 2008-11-17 | 2010-05-20 | Oxonica Materials, Inc. | Melamine assay methods and systems |
| CN101487796A (en) * | 2009-02-24 | 2009-07-22 | 中国检验检疫科学研究院 | Method for measuring melamine content in solid example |
Non-Patent Citations (3)
| Title |
|---|
| 刘峰 等: "便携式三聚氰胺快速检测仪的研制与应用", 《分析化学》 * |
| 刘菲 等: "土壤中单环芳烃定量分析的基质效应研究", 《岩矿测试》 * |
| 程劼 等: "纳米银粒子表面增强拉曼光谱在宠物饲料中三聚氰胺的速测研究", 《光谱学与光谱分析》 * |
Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105628669A (en) * | 2014-10-28 | 2016-06-01 | 河北伊诺光学科技有限公司 | Detection method of melamine in milk and milk powder |
| CN104568909A (en) * | 2015-02-10 | 2015-04-29 | 吕志伟 | Method for detecting content of dicyandiamide in milk based on surface enhanced Raman scattering technology |
| CN105758836A (en) * | 2016-02-18 | 2016-07-13 | 安徽芯核防务装备技术股份有限公司 | Raman spectrum real-time and quantitive analysis method based on area method |
| CN105758836B (en) * | 2016-02-18 | 2018-07-27 | 安徽芯核防务装备技术股份有限公司 | A kind of Raman spectrum real-time and quantification analysis method based on area-method |
| WO2018103541A1 (en) * | 2016-12-08 | 2018-06-14 | 同方威视技术股份有限公司 | Raman spectrum detection method and electronic apparatus for removing solvent perturbation |
| CN107247045A (en) * | 2017-06-16 | 2017-10-13 | 王海燕 | The dairy products Raman spectral characteristics extracting method parsed based on chemical prior information |
| CN107561055A (en) * | 2017-08-16 | 2018-01-09 | 常州二维碳素科技股份有限公司 | A kind of method of graphene composition and content in judgement material |
| CN107561055B (en) * | 2017-08-16 | 2020-09-01 | 常州二维碳素科技股份有限公司 | Method for judging graphene component and content in material |
| CN108020539A (en) * | 2018-01-17 | 2018-05-11 | 南开大学 | The enhancing Raman optical spectrum method that a kind of food security quickly detects |
| CN109239049A (en) * | 2018-09-13 | 2019-01-18 | 常州常检诺食品检测中心有限公司 | The detection method of melamine in a kind of milk powder |
| CN111380856A (en) * | 2018-12-29 | 2020-07-07 | 同方威视技术股份有限公司 | Method for detecting melamine in dairy product by using Raman spectrum |
| CN114441503A (en) * | 2022-01-21 | 2022-05-06 | 首都师范大学 | Melamine quantitative detection method based on surface enhanced Raman spectrum internal standard analysis |
| CN114441503B (en) * | 2022-01-21 | 2023-07-28 | 首都师范大学 | Melamine quantitative detection method based on surface enhanced Raman spectrum internal standard analysis |
| CN114813592A (en) * | 2022-03-11 | 2022-07-29 | 华南理工大学 | Method for researching degradation mechanism of hydroxychloroquine in natural water body |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2014176869A1 (en) | 2014-11-06 |
| CN104122246B (en) | 2017-03-29 |
| US20140320855A1 (en) | 2014-10-30 |
| US8891081B1 (en) | 2014-11-18 |
| HK1200531A1 (en) | 2015-08-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104122246A (en) | Raman-spectrum measuring method for detecting content of melamine in milk products with different matrixes | |
| CN104458693B (en) | For the method for measuring Raman spectrum of illicit drugs inspection | |
| WO2018018838A1 (en) | Raman spectrum analysis-based method for quickly detecting quality of coal | |
| CN106198482B (en) | The method for whether being added with Western medicine in detection health care product based on Raman spectrum | |
| Pu et al. | Artificial tongue based on metal–biomolecule coordination polymer nanoparticles | |
| Ji et al. | Rapid surface enhanced Raman scattering detection method for chloramphenicol residues | |
| CN104122247B (en) | Glycoprotein detection method based on molecular imprinting technique and Raman spectrum and application | |
| CN105510420A (en) | Method for determining ATP content on basis of magnetic bead separation and DNA marker gold nanoparticle probe | |
| CN111220592B (en) | Rapid hydroxy sanshool detection method based on surface enhanced Raman spectrum | |
| CN103884669A (en) | Preparation method and application of nano-silver probe for detecting mercury ions | |
| CN103257133B (en) | Detect the preparation method and its usage of mercury ion probe | |
| CN110243990A (en) | The measuring method of illegal additive in a kind of cosmetics | |
| Özkütük et al. | Potentiometric sensor fabrication having 2D sarcosine memories and analytical features | |
| CN103323607A (en) | Method for simultaneously measuring two-component plant hormones | |
| CN104502468B (en) | The detection method of ethylene thiourea in plasthetics | |
| CN103398988B (en) | A kind of LIBS metallic element quantivative approach based on not same element polyion state contrast correction | |
| Liu et al. | Dynamic reaction regulated surface-enhanced Raman scattering for detection of trace formaldehyde | |
| CN105424865A (en) | Illegal cooking oil detection method | |
| CN102435587B (en) | Method for rapidly determining nitrite in water through nanogold resonance scattering spectrometry | |
| CN106706747A (en) | Novel method of measuring content of adenine in Maca | |
| CN101393180A (en) | Method for measuring beta-naphthol content in additive agent for cigarette | |
| CN108088830B (en) | Method for accurately measuring content of chitosan oligosaccharide by resonance Rayleigh scattering method | |
| CN115235958B (en) | Magnetic nanoparticle particle size analysis system based on optical magnetic drive phase difference detection | |
| Xia et al. | A molecularly imprinted polymer based chemiluminescence array sensor for one‐step determination of phenothiazines and benzodiazepines in pig urine | |
| CN104251827A (en) | Method for determining concentration of mercury ions or silver ions in solution |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| REG | Reference to a national code |
Ref country code: HK Ref legal event code: DE Ref document number: 1200531 Country of ref document: HK |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| REG | Reference to a national code |
Ref country code: HK Ref legal event code: GR Ref document number: 1200531 Country of ref document: HK |